Remote SAS Data Engineer: Migration & Validation Lead

Tech Mirrors; Town of Florida (NY); Remote; USD 110,000 - 170,000; Full time

Job summary

Tech Mirrors is seeking an experienced SAS Data Engineer for a remote, long-term contract. The role centers on migrating and validating SAS logic, with strong emphasis on Python/PySpark automation and data reconciliation to ensure functional equivalence between source and target platforms.

You will analyze SAS programs, create QA scenarios, and collaborate with cross-functional teams and clients to resolve discrepancies, driving high-quality migration outcomes in a SaaS/enterprise data

Qualifications

• 7+ years of hands-on SAS programming experience including DATA Step, PROC SQL, Macros, Datasets and Job Analysis.
• Strong Python and PySpark experience for data processing, automation, validation and reconciliation.
• QA experience in SAS migration, ETL validation, source-to-target testing and data quality checks.
• Strong SQL skills for querying, profiling, reconciliation and validation across large datasets.
• Excellent communication skills to work with technical teams, business users, QA teams and client stakeholders.

Responsibilities

• Analyze SAS programs, jobs, datasets and business logic to support migration and validation.
• Create and execute QA test scenarios for SAS migration and modernization projects.
• Validate source-to-target outputs for data accuracy, completeness, reconciliation and functional equivalency.
• Use Python and PySpark for automation, data comparison, profiling and validation.
• Perform defect analysis, root-cause investigation and prepare validation reports/status updates.
• Collaborate with data engineering, QA, business and client stakeholders to resolve discrepancies.

Skills

SAS

Python

PySpark

SQL

QA testing

Data migration

ETL

Tools

Databricks

Snowflake

Job description

Tech Mirrors is seeking an experienced SAS Data Engineer for a remote, long-term contract. The role centers on migrating and validating SAS logic, with strong emphasis on Python/PySpark automation and data reconciliation to ensure functional equivalence between source and target platforms.

You will analyze SAS programs, create QA scenarios, and collaborate with cross-functional teams and clients to resolve discrepancies, driving high-quality migration outcomes in a SaaS/enterprise data